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人类通过交易实用性和计算成本来分解任务
Carlos G Correa1, Mark K Ho2,3, Frederick Callaway2
1Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America.
PLoS computational biology
|June 1, 2023
概括
人们分解复杂的任务,使规划更容易,更快. 这项研究表明,人类任务分解与最小化规划成本的框架保持一致,特别是使用中间中心度启发式.
科学领域:
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
- 决策科学 决策科学 决策科学
背景情况:
- 人类行为依赖于层次任务分解来规划.
- 了解管理任务分解的原则对于解释目标导向行为至关重要.
研究的目的:
- 提出和评估任务分解的规范框架.
- 调查计算成本如何影响人力计划中的任务结构.
主要方法:
- 分析了11117个图形结构化规划任务.
- 一项涉及806名参与者和30个不同的图表的行为研究.
主要成果:
- 拟议的框架解释了现有的任务分解启发式.
- 人类任务分解行为的最佳预测是中间中心性启发式.
- 该框架的预测可以与替代规范账户区分开来.
结论:
- 计算成本是构建目标导向行为的关键因素.
- 之间的中心性启发式是用于任务分解的计算合理的策略.
- 这项工作为理解人类规划策略提供了规范基础.
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